Instructions to use umarzein/saved-distilbert-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umarzein/saved-distilbert-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="umarzein/saved-distilbert-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("umarzein/saved-distilbert-squad") model = AutoModelForQuestionAnswering.from_pretrained("umarzein/saved-distilbert-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0f64f8d521b6c1003940389ec698969ffd84096bb1ac4bca2133a6a532d1e5b
- Size of remote file:
- 265 MB
- SHA256:
- c3f617a1ec0e3b4a44ea647b8e8a6dc2f6c028546dcabe9d0ac766be4278ef7e
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